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Data Science Insurance Jobs in Wisconsin (NOW HIRING)

Messmer High School

Science Teacher

Milwaukee, WI · On-site

$46.30K - $59.80K/yr

Use data collected using formative and summative assessments to discuss and inform instruction ... Life, health, dental, and vision insurance * 403b matching program * Flexible spending or health ...

Howard

Associate Professor

Downing, WI

$100K - $115K/yr

Comprehensive medical, dental, and vision insurance, plus mental health support * Work-Life Balance ... Develop and teach undergraduate and graduate courses in AI, machine learning, data science, or ...

Howard

Assistant Professor

Downing, WI

$100K - $115K/yr

Comprehensive medical, dental, and vision insurance, plus mental health support * Work-Life Balance ... Develop and teach undergraduate and graduate courses in AI, machine learning, data science, or ...

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See Wisconsin salary details

$21K

$99K

$186.7K

How much do data science insurance jobs pay per year?

As of May 29, 2026, the average yearly pay for data science insurance in Wisconsin is $98,989.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,482.00 and $140,622.00 per year, depending on experience, location, and employer.

What is a Data Science Insurance job?

A Data Science Insurance job involves using data analytics, machine learning, and statistical modeling to assess risks, detect fraud, optimize pricing, and enhance customer experience in the insurance industry. Professionals in this role analyze large datasets to identify patterns and trends that help insurers make data-driven decisions. They work with actuarial teams, underwriters, and claims departments to improve risk assessment and operational efficiency. This role requires expertise in programming languages like Python or R, as well as proficiency in data visualization, predictive modeling, and big data processing.

What are the key skills and qualifications needed to thrive in the Data Science Insurance position, and why are they important?

To thrive in Data Science Insurance, you need strong analytical skills, proficiency in statistical modeling, and a solid foundation in mathematics and insurance principles, often supported by a degree in data science or actuarial science. Experience with programming languages like Python or R, data visualization tools, and knowledge of insurance-specific software or relevant certifications like ACAS or CSPA are highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills are essential for translating complex data into actionable insights for diverse teams. These competencies enable professionals to accurately assess risk, improve decision-making, and drive innovation within insurance organizations.

What are some common challenges faced by data scientists working in the insurance industry?

Data scientists in the insurance sector often encounter challenges like working with large, complex, and sometimes incomplete datasets, as well as navigating strict regulatory frameworks. Balancing the need for highly accurate predictive models with the business's risk appetite and operational constraints is a key aspect of the job. Additionally, there's a strong emphasis on explaining complex analytical findings to non-technical stakeholders such as underwriters, actuaries, or business managers. These challenges foster collaborative problem-solving and help data science professionals sharpen both their technical and communication skills in a real-world environment.
More about Data Science Insurance jobs
What are the most commonly searched types of Data Science Insurance jobs in Wisconsin? The most popular types of Data Science Insurance jobs in Wisconsin are:
What are popular job titles related to Data Science Insurance jobs in Wisconsin? For Data Science Insurance jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Science Insurance jobs in Wisconsin look for? The top searched job categories for Data Science Insurance jobs in Wisconsin are:
Data Science Insurance jobs near you
Infographic showing various Data Science Insurance job openings in Wisconsin as of May 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $98,989 per year, or $47.6 per hour.
Insurance Systems Strategist & Data Analyst

Insurance Systems Strategist & Data Analyst

Vizance, Inc.

Hartland, WI

Other

Posted 20 days ago

Job description

Description

The Systems Strategist & Data Analyst is responsible for designing, building, and supporting AI-driven solutions, system integrations, and data workflows that improve how Vizance operates.


This is a hands-on role focused on delivering practical, working solutions. You will partner closely with internal teams to understand business processes, analyze data to uncover insights, and develop AI-enabled workflows and tools that drive efficiency and better decision-making.


You will also serve as a central coordinator for technology decisions, collaborating across teams, leadership, and external partners to ensure systems are aligned, scalable, and effectively utilized.

Success in this role requires a strong curiosity and a willingness to learn the insurance industry, our workflows, and how our teams operate, enabling you to build solutions that are accurate, relevant, and impactful. As a new position, this role will continue to evolve alongside the needs of the organization.


Responsibilities

  • Design and implement AI-driven workflows and agents to support business operations 
  • Build and maintain integrations between internal systems and external platforms (APIs, data pipelines) 
  • Prototype, test, deploy, and improve solutions based on real-world use 
  • Analyze business and operational data to identify trends, inefficiencies, and opportunities for improvement 
  • Develop dashboards, reports, and data tools to support decision-making across teams 
  • Ensure that workflows and tools align with long-term scalability, data integrity, and system consistency
  • Work with stakeholders to define key metrics, reporting needs, and performance indicators
  • Translate business needs into scalable technical solutions 
  • Troubleshoot system and integration issues 
  • Support data governance, security, and best practices 
  • Learn  and understand Vizance' s workflows, systems, and data in order to build accurate and effective solutions 
  • Partner directly with associates to observe processes, gather requirements, and identify high-impact opportunities

Knowledge & Skills

  • Understanding of AI/LLMs and how they integrate with systems and workflows 
  • Working  knowledge of SQL and relational databases 
  • Strong problem-solving and analytical skills 
  • Ability  to communicate technical concepts to non-technical users 
  • Self-starter with the ability to take solutions from concept to deployment 
  • Ability to translate business processes and data into actionable insights and      solutions 
  • Curiosity  and willingness to learn a complex, domain-specific industry (insurance)

What Sets This Role Apart

  • Focus on practical AI application, not theoretical research 
  • Ownership of solutions from idea through implementation 
  • Direct impact on how Vizance operates day-to-day 
  • Opportunity to shape the organization's approach to AI, automation, and data 

Why Vizance

Vizance is a growing independent insurance agency focused on serving clients well and operating efficiently. While we are not a software company, we believe AI will play a major role in how businesses operate in the future.

This role offers the opportunity to apply AI in a meaningful, real-world environment, building solutions that directly impact team productivity, client experience, and business performance.

Requirements

Education & Experience

  • Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience) 
  • Experience building AI-enabled workflows, automation, or system integrations 
  • Experience working with APIs, structured data, and BI tools (Power BI, Tableau, etc.)      
  • Experience working with business data, reporting, or analytics in a real-world environment 

Apply